Бакалавриат
2022/2023
Корпусная лингвистика: метод, анализ, интерпретация
Статус:
Курс по выбору (Фундаментальная и компьютерная лингвистика)
Направление:
45.03.03. Фундаментальная и прикладная лингвистика
Кто читает:
Школа лингвистики
Где читается:
Факультет гуманитарных наук
Когда читается:
2-й курс, 4 модуль
Формат изучения:
с онлайн-курсом
Онлайн-часы:
2
Охват аудитории:
для всех кампусов НИУ ВШЭ
Преподаватели:
Юдина Татьяна Александровна
Язык:
английский
Кредиты:
3
Контактные часы:
28
Course Syllabus
Abstract
Learn how to build and query corpora in this practical course On this course, you’ll get a practical introduction to corpus linguistics, an extremely versatile methodology of language analysis using computers. Over eight weeks, you’ll build the skills necessary to collect and analyse large digital collections of text (corpora). You’ll be introduced to a number of topics demonstrating the use of corpora in areas as diverse as discourse analysis, sociolinguistics, and language learning and teaching.
Learning Objectives
- learn methods of corpus analysis
- use corpus methods in linguistic projects
- learn to use linguistic corpora
Expected Learning Outcomes
- A student knows the main attributes of corpora and types of corpora
- A student is familiar with the notion of corpus annotation, preprocessing, lemmatization, morphological analysis, syntax parsing, semantic annotation
- A student is familiar with Russian National Corpus interface and can use the search and analysis functions
- A student is familiar with a notion of collocation, known the differentce between a collocation and an n-gram
- A student is familiar with the notion of frequency list, Zipf's law, key words, TF*IDF
- A student is familiar with LancsBox and AntConc interface and common NLP Python libraries
- A student is familiar with a notion of parallel corpus, knows how to use them for different linguistic tasks
Course Contents
- Russian National Corpus
- Basic principles of corpus linguistics
- Attributes of a corpus: annotation, types of annotation, alignment
- Instruments for corpus anlysis: LancsBox, AntConc, Python
- Analysis: collocations
- Comparative analysis, working with several collections
- Parallel corpora
- statistics in corpus lingustics
Interim Assessment
- 2022/2023 4th module0.2 * дополнительные домашние задания + 0.8 * домашние задания
Bibliography
Recommended Core Bibliography
- Perkins, J. (2014). Python 3 Text Processing with NLTK 3 Cookbook. Birmingham: Packt Publishing. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=836632
- Speech and language processing, Jurafsky, D., 2014
Recommended Additional Bibliography
- Zelterman, D. (2015). Applied Multivariate Statistics with R. Springer.
- Национальный корпус русского языка и проблемы гуманитарного образования, [сборник], отв. ред.-сост. Н. Р. Добрушина ; Гос. ун-т - Высшая школа экономики, 237 с., , 2007